A Fatigue-Crack Growth Prediction Model Considering Stress Ratio Effects Based on Material Properties

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Authors: Panpan Wu, Chunguo Zhang, Xing Yang, Zhonghong Dong
Cited by: 1
References: 43

Abstract

To overcome the limitation of the Paris law in capturing stress-ratio (R) effects, a modification of the Goodman model is introduced to account for the nonlinear variation of the fatigue limit with mean stress in this study. Based on the modified formulation, an equivalent crack driving force model incorporating R-effects is subsequently derived for fatigue-crack growth (FCG). The model unifies the stress-intensity factor ranges at different values of R into an equivalent value at R = 0 without introducing fitting parameters other than the Paris constants, relying solely on basic material properties (fatigue limit and tensile strength). This feature facilitates practical application and avoids extensive experimental calibration. Validation using FCG test results of Q345qD steel and 23 datasets show that the model outperforms classical models, achieving a goodness of fit up to 0.98 and demonstrating strong robustness and practical value for FCG prediction and residual-life assessment in engineering structures.

Fields of Study & Subjects

Fatigue and fracture mechanics Rock Mechanics and Modeling Numerical methods in engineering

Publication details

Journal / source
Applied Sciences
Publisher
MDPI AG
Volume
16
Issue
1
Pages
547–547
Publication date
5 January 2026
Language
EN